Llama 3.3 70B API in Singapore
Meta’s dependable mid-size open model, close to Llama 3.1 405B at a sixth of the size. Priced in Singapore dollars for teams in Singapore, on the same key as every other model.
Llama 3.3 70B API pricing in Singapore
In Singapore dollars, the currency your card is charged in, with the published US dollar rate beside each.
For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost S$5.29 — a long prompt and a page of answer each. Every rate is published and stays the same from one request to the next. See every model.
Prices are our published US dollar rates converted at S$1.30 to the dollar, our rate for October — the same rate your card is charged.
About Llama 3.3 70B
Llama 3.3 70B was Meta’s answer to an expensive problem: it comes close to the much larger Llama 3.1 405B on key tests at about a sixth of the size. It is a plain, predictable model — no reasoning step, so answers start quickly — that follows instructions very well (92.1% on IFEval) and writes clean code for its class (88.4% on HumanEval).
It has been around since December 2024, so it is well understood and widely tested. That makes it a steady choice for drafting, summarising and answering from your own documents, where consistent behaviour matters more than the newest benchmark score.
What is Llama 3.3 70B good for?
- Drafting and editing.
- Answering questions from your own documents.
- Assistants that need fast, predictable replies.
Where to be careful
- Its knowledge stops at December 2023.
- No reasoning mode: far behind 2026 reasoning models on hard science and maths (50.5% on GPQA Diamond).
- Text only, under Meta’s own licence.
Specs
llama-3.3-70bUsing Llama 3.3 70B from Singapore
Roar AI provides access to Llama 3.3 70B through the Roar AI gateway, charged in Singapore dollars on one bill with every other model. Requests from Singapore go through our gateway in Singapore. Developers can use Llama 3.3 70B alongside other supported models without a separate integration for every provider.
Use the OpenAI SDK you already have — point it at Roar AI and name the model. Read the docs.
from openai import OpenAI
client = OpenAI(base_url="https://api.roar-ai.com/v1", api_key="roar_live_…")
reply = client.chat.completions.create(
model="llama-3.3-70b",
messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)Where is Llama 3.3 70B processed?
Requests to Llama 3.3 70B are processed on international infrastructure, outside Singapore. The model directory says where each model is processed.
Questions
How much does Llama 3.3 70B cost in Singapore?
Input is S$0.4952 per 1M tokens; output is S$3.81 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost S$5.29. Prices are our published US dollar rates converted at S$1.30 to the dollar, our rate for October — the same rate your card is charged. The rate is published and does not change from one request to the next.
Is Llama 3.3 70B open source?
Its weights are open under the Llama 3.3 Community License licence, so you could run it yourself. Through Roar AI you call it like any other model, with no servers to manage.
Try Llama 3.3 70B
on one key
Sign up, get a key and call it with the SDK you already use. Pay in your local currency, on one bill.